Designing an AI-Powered Multilingual Content Platform
Enhancing global content accessibility through AI-driven translation and user-centered design.
Overview
🗓 Date: Fall 2024
💼 Company: Vosyn (Internship)
👩💻 Role: UX Designer
👥 Team: UX Researchers, UX Designers, Developers, Project Managers, UX Leads
🔒 Due to NDA, I’m not allowed to reveal complete design processes and deliverables. All data is redacted and used for portfolio-building purposes only.
Background
VosynVerse is an AI-powered platform designed to break language barriers in digital content consumption, enabling users to seamlessly access multilingual media. As part of a large, cross-functional team, I contributed to the UX design process alongside researchers, designers, developers, project managers, and UX leads, ensuring that our design decisions aligned with user needs and business goals. Unlike projects where I solely owned design decisions, this internship required strong collaboration, iteration, and alignment with a broader product vision.
Our goal was to create a scalable, intuitive user experience that integrates AI-driven translation, content recommendations, and accessibility features to make media consumption more inclusive and seamless.
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User Problems
With the rapid growth of global content consumption, users face significant challenges in accessing content beyond their native language:
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Limited access to multilingual content, restricting exposure to diverse perspectives.
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Inefficient AI translations, leading to a loss of context or inaccurate subtitling.
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Disjointed user experiences, making it difficult to switch between translated and original content.
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Lack of accessibility features, limiting engagement for users with different needs.
Design Challenges
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Creating a seamless experience across multiple languages without disrupting the user journey.
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Ensuring AI-generated translations feel natural and contextually accurate.
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Balancing user control and automation, allowing for customized translation preferences.
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Collaborating in a large team, ensuring UX decisions align with broader research and business goals.
Cross-Functional Collaboration
As part of a large UX team, my contributions focused on designing and refining specific user interactions within the platform. While I didn’t solely own individual design decisions, I played a key role in:
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Synthesizing user research insights to refine UX flows.
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Creating wireframes and interactive prototypes for AI-driven content recommendations.
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Iterating on accessibility and navigation improvements based on stakeholder feedback.
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Collaborating with researchers to validate usability hypotheses through testing.
Our work was highly iterative, with ongoing feedback loops between design, research, and engineering to refine features before implementation.
Designing for AI-Powered Content Consumption
Multilingual Content Experience
🌎 Designed seamless language-switching interactions to allow users to access content in multiple languages without friction.
🎙 Integrated live AI translation and subtitling features, ensuring accuracy and fluidity in media playback.
Personalized Recommendations & User Control
🔍 Developed dynamic filtering options to help users discover content in their preferred languages.
📌 Enhanced AI-driven content recommendations, balancing automation with user preferences.
Accessibility & Inclusive Design
🦻 Integrated readability enhancements and assistive features, ensuring usability for hearing-impaired and non-native speakers.
⚡ Improved text contrast, voice narration, and playback controls for a better user experience.
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Validating Design Decisions
Given the complexity of the platform, usability testing was a key component of our iterative design process. The team conducted:
📊 A/B testing to compare different AI-powered content navigation models.
🎯 Usability testing with diverse user groups to refine language-switching features.
📈 Data-driven design iterations, improving content discoverability and engagement.
Takeaways & Learnings
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Designing for AI-Driven Content Requires Context Awareness – We had to ensure AI-powered translations and recommendations were accurate, fluid, and relevant to users' needs.
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Collaboration Across Disciplines is Key – Working with researchers, developers, and product leads taught me the importance of aligning UX decisions with business and technical constraints.
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Inclusive Design Enhances Engagement – Implementing accessibility features and user-driven customization significantly improved usability for diverse audiences.